Performance comparison of recent and effective algorithms for minimizing error-based cost functions.</p
<p>The performance comparison between the proposed algorithm and Hum-mPLoc 2.0.</p
Population size = 100 and Generation = 300. (a) Range, (b) Average Tolerance, (c) Average Hamming Di...
Cost comparison of the fixed-point approximation algorithms for a sinusoid calculation.</p
Performance comparison of recent and effective algorithms for minimizing error-based cost functions....
Comparative statistical performance of various algorithms in minimizing the F cost function.</p
Performances of ImpAO, AO, SMA, MFO and ABC algorithms for minimization of different error-based cos...
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>The comparison of computational efficiency of each algorithm on the test functions.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Comparison of solution performance for distance between BCO and adaptive BCO algorithms.</p
<p>Comparison of the classification performance error among the competing methods for motor imagery....
<p>Comparison of the equal error rates obtained using other high-performance methods and the VO–WRHO...
<p>Performance comparison of many metrics, including CSR, , MML, CH, SI for all algorithms in Leukem...
<p>Performance comparison of different values of <i>σ</i> for multimodal function.</p
<p>The performance comparison between the proposed algorithm and Hum-mPLoc 2.0.</p
Population size = 100 and Generation = 300. (a) Range, (b) Average Tolerance, (c) Average Hamming Di...
Cost comparison of the fixed-point approximation algorithms for a sinusoid calculation.</p
Performance comparison of recent and effective algorithms for minimizing error-based cost functions....
Comparative statistical performance of various algorithms in minimizing the F cost function.</p
Performances of ImpAO, AO, SMA, MFO and ABC algorithms for minimization of different error-based cos...
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>The comparison of computational efficiency of each algorithm on the test functions.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Comparison of solution performance for distance between BCO and adaptive BCO algorithms.</p
<p>Comparison of the classification performance error among the competing methods for motor imagery....
<p>Comparison of the equal error rates obtained using other high-performance methods and the VO–WRHO...
<p>Performance comparison of many metrics, including CSR, , MML, CH, SI for all algorithms in Leukem...
<p>Performance comparison of different values of <i>σ</i> for multimodal function.</p
<p>The performance comparison between the proposed algorithm and Hum-mPLoc 2.0.</p
Population size = 100 and Generation = 300. (a) Range, (b) Average Tolerance, (c) Average Hamming Di...
Cost comparison of the fixed-point approximation algorithms for a sinusoid calculation.</p
DOI
Add to ORKG